Overview

Dataset statistics

Number of variables20
Number of observations485
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory75.9 KiB
Average record size in memory160.3 B

Variable types

NUM19
BOOL1

Reproduction

Analysis started2020-08-25 01:18:49.017195
Analysis finished2020-08-25 01:19:42.739110
Duration53.72 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

Corpus has constant value "1" Constant
Genre is highly correlated with Text and 2 other fieldsHigh correlation
Text is highly correlated with Genre and 2 other fieldsHigh correlation
Counter is highly correlated with Text and 2 other fieldsHigh correlation
target is highly correlated with Text and 2 other fieldsHigh correlation
Text has unique values Unique
Counter has unique values Unique
Motion has 12 (2.5%) zeros Zeros
Direct_Activity has 11 (2.3%) zeros Zeros
FirstPerson has 136 (28.0%) zeros Zeros
target has 44 (9.1%) zeros Zeros

Variables

Motion
Real number (ℝ≥0)

ZEROS

Distinct count123
Unique (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49797938144329895
Minimum0.0
Maximum2.32
Zeros12
Zeros (%)2.5%
Memory size3.9 KiB
2020-08-25T01:19:42.789141image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q10.22
median0.4
Q30.68
95-th percentile1.25
Maximum2.32
Range2.32
Interquartile range (IQR)0.46

Descriptive statistics

Standard deviation0.3955298251
Coefficient of variation (CV)0.7942694815
Kurtosis3.698359695
Mean0.4979793814
Median Absolute Deviation (MAD)0.22
Skewness1.622802532
Sum241.52
Variance0.1564438425
2020-08-25T01:19:42.893017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.09224.5%
 
0.18204.1%
 
0.26193.9%
 
0.35153.1%
 
0.22142.9%
 
0.17142.9%
 
0.13132.7%
 
0.21132.7%
 
0.04122.5%
 
0122.5%
 
0.3122.5%
 
0.31112.3%
 
0.34102.1%
 
0.3991.9%
 
0.7481.6%
 
0.481.6%
 
0.2581.6%
 
0.4371.4%
 
0.2771.4%
 
0.6561.2%
 
0.4761.2%
 
0.5761.2%
 
0.4261.2%
 
0.6361.2%
 
0.761.2%
 
Other values (98)21544.3%
 
ValueCountFrequency (%) 
0122.5%
 
0.04122.5%
 
0.0520.4%
 
0.0830.6%
 
0.09224.5%
 
0.1220.4%
 
0.13132.7%
 
0.1420.4%
 
0.1630.6%
 
0.17142.9%
 
ValueCountFrequency (%) 
2.3220.4%
 
2.2810.2%
 
2.2710.2%
 
2.1410.2%
 
1.8410.2%
 
1.8210.2%
 
1.7510.2%
 
1.6110.2%
 
1.5810.2%
 
1.5410.2%
 

Direct_Activity
Real number (ℝ≥0)

ZEROS

Distinct count78
Unique (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2867422680412371
Minimum0.0
Maximum3.08
Zeros11
Zeros (%)2.3%
Memory size3.9 KiB
2020-08-25T01:19:43.000940image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04
Q10.13
median0.22
Q30.35
95-th percentile0.67
Maximum3.08
Range3.08
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.2758400123
Coefficient of variation (CV)0.9619789023
Kurtosis29.0058994
Mean0.286742268
Median Absolute Deviation (MAD)0.09
Skewness4.183908013
Sum139.07
Variance0.07608771236
2020-08-25T01:19:43.112791image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.13489.9%
 
0.17387.8%
 
0.09285.8%
 
0.04255.2%
 
0.22244.9%
 
0.26204.1%
 
0.21204.1%
 
0.3183.7%
 
0.08183.7%
 
0.31173.5%
 
0.18163.3%
 
0.12122.5%
 
0.35112.3%
 
0112.3%
 
0.25102.1%
 
0.2991.9%
 
0.3471.4%
 
0.2761.2%
 
0.4461.2%
 
0.3261.2%
 
0.461.2%
 
0.4961.2%
 
0.3961.2%
 
0.3861.2%
 
0.5851.0%
 
Other values (53)10621.9%
 
ValueCountFrequency (%) 
0112.3%
 
0.04255.2%
 
0.0510.2%
 
0.08183.7%
 
0.09285.8%
 
0.12122.5%
 
0.13489.9%
 
0.1440.8%
 
0.1630.6%
 
0.17387.8%
 
ValueCountFrequency (%) 
3.0810.2%
 
1.9810.2%
 
1.7710.2%
 
1.7410.2%
 
1.5710.2%
 
1.4810.2%
 
1.4310.2%
 
1.3110.2%
 
1.0310.2%
 
1.0210.2%
 

Text
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count485
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242.7175257731959
Minimum0
Maximum490
Zeros1
Zeros (%)0.2%
Memory size3.9 KiB
2020-08-25T01:19:43.240043image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.2
Q1121
median242
Q3363
95-th percentile465.8
Maximum490
Range490
Interquartile range (IQR)242

Descriptive statistics

Standard deviation141.2562022
Coefficient of variation (CV)0.5819777611
Kurtosis-1.181238415
Mean242.7175258
Median Absolute Deviation (MAD)121
Skewness0.02093555902
Sum117718
Variance19953.31467
2020-08-25T01:19:43.345914image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
49010.2%
 
18010.2%
 
15210.2%
 
15310.2%
 
15410.2%
 
15510.2%
 
15610.2%
 
15710.2%
 
15810.2%
 
15910.2%
 
16010.2%
 
16110.2%
 
16210.2%
 
16310.2%
 
16410.2%
 
16510.2%
 
16610.2%
 
16710.2%
 
16810.2%
 
16910.2%
 
17010.2%
 
17110.2%
 
17210.2%
 
17310.2%
 
17410.2%
 
Other values (460)46094.8%
 
ValueCountFrequency (%) 
010.2%
 
110.2%
 
210.2%
 
310.2%
 
410.2%
 
510.2%
 
610.2%
 
710.2%
 
810.2%
 
910.2%
 
ValueCountFrequency (%) 
49010.2%
 
48910.2%
 
48810.2%
 
48710.2%
 
48610.2%
 
48510.2%
 
48410.2%
 
48310.2%
 
48210.2%
 
48110.2%
 

Share_SocTies
Real number (ℝ≥0)

Distinct count259
Unique (%)53.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.053917525773196
Minimum0.43
Maximum5.64
Zeros0
Zeros (%)0.0%
Memory size3.9 KiB
2020-08-25T01:19:43.462357image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.43
5-th percentile0.782
Q11.26
median1.87
Q32.63
95-th percentile4.056
Maximum5.64
Range5.21
Interquartile range (IQR)1.37

Descriptive statistics

Standard deviation1.017507038
Coefficient of variation (CV)0.4953981963
Kurtosis0.682741928
Mean2.053917526
Median Absolute Deviation (MAD)0.64
Skewness0.9657550656
Sum996.15
Variance1.035320572
2020-08-25T01:19:43.565971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.2461.2%
 
1.0351.0%
 
1.3751.0%
 
1.4951.0%
 
2.2851.0%
 
1.5951.0%
 
2.1151.0%
 
1.2851.0%
 
1.7940.8%
 
1.440.8%
 
1.0840.8%
 
0.6640.8%
 
2.3740.8%
 
1.0740.8%
 
1.1940.8%
 
0.8340.8%
 
1.7640.8%
 
3.640.8%
 
2.240.8%
 
1.9440.8%
 
1.2540.8%
 
1.2340.8%
 
1.9940.8%
 
1.2440.8%
 
140.8%
 
Other values (234)37677.5%
 
ValueCountFrequency (%) 
0.4310.2%
 
0.5210.2%
 
0.5310.2%
 
0.5710.2%
 
0.5930.6%
 
0.6110.2%
 
0.6310.2%
 
0.6640.8%
 
0.6810.2%
 
0.6910.2%
 
ValueCountFrequency (%) 
5.6410.2%
 
5.5110.2%
 
5.4310.2%
 
5.3710.2%
 
5.2810.2%
 
4.8110.2%
 
4.7620.4%
 
4.7310.2%
 
4.7110.2%
 
4.6810.2%
 

TimeInterval
Real number (ℝ≥0)

Distinct count173
Unique (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.327381443298969
Minimum0.17
Maximum4.84
Zeros0
Zeros (%)0.0%
Memory size3.9 KiB
2020-08-25T01:19:43.679186image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.17
5-th percentile0.67
Q10.99
median1.24
Q31.55
95-th percentile2.29
Maximum4.84
Range4.67
Interquartile range (IQR)0.56

Descriptive statistics

Standard deviation0.5416926609
Coefficient of variation (CV)0.4080911811
Kurtosis6.977359298
Mean1.327381443
Median Absolute Deviation (MAD)0.27
Skewness1.851873963
Sum643.78
Variance0.2934309389
2020-08-25T01:19:43.791181image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.31112.3%
 
1.26102.1%
 
1.3581.6%
 
0.9871.4%
 
1.0171.4%
 
1.0771.4%
 
1.4771.4%
 
1.2371.4%
 
1.0271.4%
 
171.4%
 
1.1471.4%
 
0.9661.2%
 
1.1961.2%
 
0.9961.2%
 
1.0661.2%
 
1.161.2%
 
1.261.2%
 
1.5661.2%
 
1.0861.2%
 
1.3361.2%
 
1.7751.0%
 
0.951.0%
 
1.3851.0%
 
0.8851.0%
 
0.7951.0%
 
Other values (148)32166.2%
 
ValueCountFrequency (%) 
0.1710.2%
 
0.2620.4%
 
0.3310.2%
 
0.4310.2%
 
0.4510.2%
 
0.4710.2%
 
0.510.2%
 
0.5310.2%
 
0.5410.2%
 
0.5510.2%
 
ValueCountFrequency (%) 
4.8410.2%
 
4.5110.2%
 
3.5710.2%
 
3.310.2%
 
3.1310.2%
 
3.0710.2%
 
3.0610.2%
 
2.9810.2%
 
2.910.2%
 
2.8410.2%
 

LinearGuidance
Real number (ℝ≥0)

Distinct count345
Unique (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.710969072164948
Minimum0.43
Maximum10.95
Zeros0
Zeros (%)0.0%
Memory size3.9 KiB
2020-08-25T01:19:43.919196image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.43
5-th percentile1.878
Q13.21
median4.27
Q36.12
95-th percentile8.748
Maximum10.95
Range10.52
Interquartile range (IQR)2.91

Descriptive statistics

Standard deviation2.0666678
Coefficient of variation (CV)0.4386927123
Kurtosis-0.1330604011
Mean4.710969072
Median Absolute Deviation (MAD)1.34
Skewness0.6536904676
Sum2284.82
Variance4.271115794
2020-08-25T01:19:44.019880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3.7551.0%
 
3.951.0%
 
3.9340.8%
 
3.4340.8%
 
4.0540.8%
 
3.4640.8%
 
3.8340.8%
 
5.5630.6%
 
2.8430.6%
 
3.4830.6%
 
3.6730.6%
 
2.8930.6%
 
3.3130.6%
 
2.9430.6%
 
3.1530.6%
 
3.5630.6%
 
4.6530.6%
 
5.6130.6%
 
3.1830.6%
 
3.3630.6%
 
7.2630.6%
 
2.7330.6%
 
3.2330.6%
 
6.4230.6%
 
2.130.6%
 
Other values (320)40182.7%
 
ValueCountFrequency (%) 
0.4310.2%
 
1.1610.2%
 
1.2510.2%
 
1.2910.2%
 
1.3210.2%
 
1.3610.2%
 
1.4710.2%
 
1.4810.2%
 
1.5210.2%
 
1.5720.4%
 
ValueCountFrequency (%) 
10.9510.2%
 
10.8110.2%
 
10.7110.2%
 
10.4110.2%
 
10.3610.2%
 
9.8710.2%
 
9.7710.2%
 
9.6610.2%
 
9.5510.2%
 
9.4910.2%
 

FirstPerson
Real number (ℝ≥0)

ZEROS

Distinct count133
Unique (%)27.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.543340206185567
Minimum0.0
Maximum5.83
Zeros136
Zeros (%)28.0%
Memory size3.9 KiB
2020-08-25T01:19:44.129770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.18
Q30.64
95-th percentile2.34
Maximum5.83
Range5.83
Interquartile range (IQR)0.64

Descriptive statistics

Standard deviation0.9384869888
Coefficient of variation (CV)1.727254818
Kurtosis10.53816611
Mean0.5433402062
Median Absolute Deviation (MAD)0.18
Skewness3.053153216
Sum263.52
Variance0.8807578282
2020-08-25T01:19:44.444334image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
013628.0%
 
0.04469.5%
 
0.09214.3%
 
0.13112.3%
 
0.26112.3%
 
0.17112.3%
 
0.2291.9%
 
0.371.4%
 
0.4361.2%
 
0.0861.2%
 
0.1251.0%
 
0.4451.0%
 
0.3851.0%
 
0.5751.0%
 
0.4140.8%
 
0.6640.8%
 
0.2740.8%
 
0.3440.8%
 
0.9440.8%
 
0.0540.8%
 
0.6840.8%
 
0.7140.8%
 
0.6440.8%
 
1.1430.6%
 
0.4830.6%
 
Other values (108)15932.8%
 
ValueCountFrequency (%) 
013628.0%
 
0.04469.5%
 
0.0540.8%
 
0.0861.2%
 
0.09214.3%
 
0.1251.0%
 
0.13112.3%
 
0.1420.4%
 
0.17112.3%
 
0.1810.2%
 
ValueCountFrequency (%) 
5.8310.2%
 
5.6110.2%
 
5.510.2%
 
4.8410.2%
 
4.8310.2%
 
4.7210.2%
 
4.6910.2%
 
4.6110.2%
 
4.5810.2%
 
4.3310.2%
 

WordPicture
Real number (ℝ≥0)

Distinct count364
Unique (%)75.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.359319587628866
Minimum0.71
Maximum14.58
Zeros0
Zeros (%)0.0%
Memory size3.9 KiB
2020-08-25T01:19:44.561823image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.71
5-th percentile1.998
Q13.72
median5.16
Q36.73
95-th percentile9.204
Maximum14.58
Range13.87
Interquartile range (IQR)3.01

Descriptive statistics

Standard deviation2.241235029
Coefficient of variation (CV)0.4181939502
Kurtosis0.5329406323
Mean5.359319588
Median Absolute Deviation (MAD)1.49
Skewness0.5895101535
Sum2599.27
Variance5.023134453
2020-08-25T01:19:44.667547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4.5740.8%
 
3.7240.8%
 
7.1540.8%
 
6.3930.6%
 
4.2430.6%
 
2.930.6%
 
3.1830.6%
 
6.7330.6%
 
5.8330.6%
 
7.7730.6%
 
5.1930.6%
 
4.3530.6%
 
4.0130.6%
 
5.8530.6%
 
6.2730.6%
 
7.2930.6%
 
4.0730.6%
 
3.7830.6%
 
7.4430.6%
 
6.330.6%
 
6.6520.4%
 
5.1620.4%
 
4.8520.4%
 
5.2120.4%
 
6.0120.4%
 
Other values (339)41284.9%
 
ValueCountFrequency (%) 
0.7110.2%
 
0.8310.2%
 
0.9410.2%
 
1.0610.2%
 
1.1310.2%
 
1.1910.2%
 
1.2310.2%
 
1.2710.2%
 
1.3910.2%
 
1.4610.2%
 
ValueCountFrequency (%) 
14.5810.2%
 
12.7910.2%
 
12.4910.2%
 
12.2310.2%
 
11.8810.2%
 
11.5510.2%
 
11.2510.2%
 
11.1910.2%
 
11.0910.2%
 
10.9810.2%
 

ThinkAhead
Real number (ℝ≥0)

Distinct count171
Unique (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2080824742268041
Minimum0.17
Maximum3.51
Zeros0
Zeros (%)0.0%
Memory size3.9 KiB
2020-08-25T01:19:44.783556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.17
5-th percentile0.562
Q10.88
median1.14
Q31.47
95-th percentile2.044
Maximum3.51
Range3.34
Interquartile range (IQR)0.59

Descriptive statistics

Standard deviation0.4800463061
Coefficient of variation (CV)0.397362197
Kurtosis2.547039411
Mean1.208082474
Median Absolute Deviation (MAD)0.29
Skewness1.102897776
Sum585.92
Variance0.230444456
2020-08-25T01:19:44.900641image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.9371.4%
 
171.4%
 
1.271.4%
 
1.4771.4%
 
1.2361.2%
 
0.961.2%
 
0.7661.2%
 
1.0261.2%
 
1.4361.2%
 
1.1261.2%
 
0.8761.2%
 
0.9561.2%
 
1.0461.2%
 
1.1861.2%
 
0.9761.2%
 
1.351.0%
 
1.3451.0%
 
1.3551.0%
 
0.7251.0%
 
1.3251.0%
 
1.4851.0%
 
1.0851.0%
 
0.6651.0%
 
0.9651.0%
 
1.0651.0%
 
Other values (146)34170.3%
 
ValueCountFrequency (%) 
0.1710.2%
 
0.2520.4%
 
0.3710.2%
 
0.3920.4%
 
0.410.2%
 
0.4110.2%
 
0.4340.8%
 
0.4420.4%
 
0.4710.2%
 
0.4910.2%
 
ValueCountFrequency (%) 
3.5110.2%
 
3.510.2%
 
2.9420.4%
 
2.8910.2%
 
2.7610.2%
 
2.7110.2%
 
2.5610.2%
 
2.4910.2%
 
2.4310.2%
 
2.4110.2%
 

InnerThinking
Real number (ℝ≥0)

Distinct count259
Unique (%)53.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6827010309278347
Minimum0.56
Maximum6.11
Zeros0
Zeros (%)0.0%
Memory size3.9 KiB
2020-08-25T01:19:45.017306image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.56
5-th percentile1.262
Q12.15
median2.63
Q33.16
95-th percentile4.148
Maximum6.11
Range5.55
Interquartile range (IQR)1.01

Descriptive statistics

Standard deviation0.8737200339
Coefficient of variation (CV)0.3256866955
Kurtosis1.10535995
Mean2.682701031
Median Absolute Deviation (MAD)0.51
Skewness0.4565857696
Sum1301.11
Variance0.7633866976
2020-08-25T01:19:45.126145image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.39122.5%
 
2.4581.6%
 
3.0961.2%
 
2.9651.0%
 
2.551.0%
 
2.5151.0%
 
3.3351.0%
 
2.6351.0%
 
1.9451.0%
 
2.5240.8%
 
2.8240.8%
 
2.6740.8%
 
2.4340.8%
 
2.9340.8%
 
2.5740.8%
 
2.9240.8%
 
3.1440.8%
 
2.3340.8%
 
2.2640.8%
 
2.9540.8%
 
2.4740.8%
 
3.4440.8%
 
340.8%
 
2.2230.6%
 
2.6630.6%
 
Other values (234)36775.7%
 
ValueCountFrequency (%) 
0.5610.2%
 
0.6810.2%
 
0.7310.2%
 
0.7410.2%
 
0.7620.4%
 
0.910.2%
 
0.9410.2%
 
0.9510.2%
 
0.9710.2%
 
0.9910.2%
 
ValueCountFrequency (%) 
6.1110.2%
 
6.0510.2%
 
5.910.2%
 
5.8210.2%
 
5.4610.2%
 
5.2110.2%
 
4.8310.2%
 
4.7610.2%
 
4.6610.2%
 
4.6210.2%
 

Notifying
Real number (ℝ≥0)

Distinct count215
Unique (%)44.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6876288659793817
Minimum1.2
Maximum5.32
Zeros0
Zeros (%)0.0%
Memory size3.9 KiB
2020-08-25T01:19:45.242307image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile1.68
Q12.22
median2.69
Q33.12
95-th percentile3.75
Maximum5.32
Range4.12
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation0.6624840138
Coefficient of variation (CV)0.2464938602
Kurtosis0.5453729433
Mean2.687628866
Median Absolute Deviation (MAD)0.46
Skewness0.439635567
Sum1303.5
Variance0.4388850686
2020-08-25T01:19:45.338076image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.7281.6%
 
2.861.2%
 
2.3461.2%
 
3.0461.2%
 
2.461.2%
 
2.9261.2%
 
3.1661.2%
 
2.3961.2%
 
2.4551.0%
 
2.2751.0%
 
3.2751.0%
 
2.151.0%
 
2.1851.0%
 
2.8351.0%
 
2.6151.0%
 
2.2851.0%
 
2.8651.0%
 
3.4251.0%
 
2.7340.8%
 
2.4440.8%
 
2.0640.8%
 
240.8%
 
2.5540.8%
 
3.1240.8%
 
2.7940.8%
 
Other values (190)35773.6%
 
ValueCountFrequency (%) 
1.210.2%
 
1.310.2%
 
1.3210.2%
 
1.3310.2%
 
1.3410.2%
 
1.3710.2%
 
1.3810.2%
 
1.4510.2%
 
1.4710.2%
 
1.4930.6%
 
ValueCountFrequency (%) 
5.3210.2%
 
5.2110.2%
 
4.9110.2%
 
4.7310.2%
 
4.5810.2%
 
4.3910.2%
 
4.3610.2%
 
4.2910.2%
 
4.1910.2%
 
4.1210.2%
 

Genre
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count13
Unique (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2309278350515465
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Memory size3.9 KiB
2020-08-25T01:19:45.445368image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median7
Q39
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.610743863
Coefficient of variation (CV)0.4993472408
Kurtosis-0.6164628848
Mean7.230927835
Median Absolute Deviation (MAD)2
Skewness0.002664972705
Sum3507
Variance13.03747124
2020-08-25T01:19:45.569677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
98016.5%
 
77515.5%
 
6489.9%
 
1449.1%
 
5367.4%
 
8306.2%
 
14296.0%
 
13296.0%
 
10296.0%
 
2275.6%
 
11244.9%
 
4173.5%
 
3173.5%
 
ValueCountFrequency (%) 
1449.1%
 
2275.6%
 
3173.5%
 
4173.5%
 
5367.4%
 
6489.9%
 
77515.5%
 
8306.2%
 
98016.5%
 
10296.0%
 
ValueCountFrequency (%) 
14296.0%
 
13296.0%
 
11244.9%
 
10296.0%
 
98016.5%
 
8306.2%
 
77515.5%
 
6489.9%
 
5367.4%
 
4173.5%
 

ThinkPositive
Real number (ℝ≥0)

Distinct count151
Unique (%)31.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7547628865979381
Minimum0.04
Maximum2.3
Zeros0
Zeros (%)0.0%
Memory size3.9 KiB
2020-08-25T01:19:45.692912image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.21
Q10.45
median0.7
Q30.98
95-th percentile1.51
Maximum2.3
Range2.26
Interquartile range (IQR)0.53

Descriptive statistics

Standard deviation0.4062896458
Coefficient of variation (CV)0.5383010387
Kurtosis0.7660304303
Mean0.7547628866
Median Absolute Deviation (MAD)0.26
Skewness0.8701093712
Sum366.06
Variance0.1650712763
2020-08-25T01:19:45.799292image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.74132.7%
 
0.3102.1%
 
0.7991.9%
 
0.4391.9%
 
0.8791.9%
 
0.5391.9%
 
0.5881.6%
 
0.781.6%
 
0.3971.4%
 
0.6471.4%
 
0.6771.4%
 
0.4771.4%
 
0.5171.4%
 
0.7371.4%
 
0.4471.4%
 
0.5971.4%
 
0.6271.4%
 
0.6871.4%
 
1.0461.2%
 
0.7661.2%
 
0.5461.2%
 
0.8861.2%
 
1.0361.2%
 
0.4951.0%
 
0.5551.0%
 
Other values (126)30061.9%
 
ValueCountFrequency (%) 
0.0430.6%
 
0.0830.6%
 
0.1230.6%
 
0.1340.8%
 
0.1410.2%
 
0.1620.4%
 
0.1751.0%
 
0.1820.4%
 
0.210.2%
 
0.2130.6%
 
ValueCountFrequency (%) 
2.310.2%
 
2.1310.2%
 
2.0910.2%
 
2.0210.2%
 
2.0110.2%
 
1.9210.2%
 
1.9110.2%
 
1.910.2%
 
1.8810.2%
 
1.8610.2%
 

ThinkNegative
Real number (ℝ≥0)

Distinct count212
Unique (%)43.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2281030927835048
Minimum0.04
Maximum3.69
Zeros0
Zeros (%)0.0%
Memory size3.9 KiB
2020-08-25T01:19:45.912726image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.302
Q10.73
median1.15
Q31.62
95-th percentile2.462
Maximum3.69
Range3.65
Interquartile range (IQR)0.89

Descriptive statistics

Standard deviation0.6605498818
Coefficient of variation (CV)0.5378619154
Kurtosis0.5528412507
Mean1.228103093
Median Absolute Deviation (MAD)0.45
Skewness0.7512287129
Sum595.63
Variance0.4363261464
2020-08-25T01:19:46.022717image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.2171.4%
 
0.5871.4%
 
1.6161.2%
 
0.8661.2%
 
1.1561.2%
 
1.0161.2%
 
0.7261.2%
 
0.8461.2%
 
1.1851.0%
 
0.9951.0%
 
1.5351.0%
 
1.2751.0%
 
1.6951.0%
 
1.0551.0%
 
0.3151.0%
 
0.2640.8%
 
1.4640.8%
 
0.8240.8%
 
0.9340.8%
 
0.4740.8%
 
0.740.8%
 
1.7940.8%
 
0.3540.8%
 
0.6140.8%
 
1.440.8%
 
Other values (187)36074.2%
 
ValueCountFrequency (%) 
0.0410.2%
 
0.0810.2%
 
0.0910.2%
 
0.1630.6%
 
0.1710.2%
 
0.220.4%
 
0.2220.4%
 
0.2420.4%
 
0.2520.4%
 
0.2640.8%
 
ValueCountFrequency (%) 
3.6910.2%
 
3.6410.2%
 
3.6210.2%
 
3.4510.2%
 
3.1210.2%
 
2.9310.2%
 
2.8210.2%
 
2.7910.2%
 
2.7710.2%
 
2.7510.2%
 

ShiftingEvents
Real number (ℝ≥0)

Distinct count132
Unique (%)27.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8181855670103093
Minimum0.09
Maximum1.87
Zeros0
Zeros (%)0.0%
Memory size3.9 KiB
2020-08-25T01:19:46.144529image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.362
Q10.58
median0.78
Q31.02
95-th percentile1.378
Maximum1.87
Range1.78
Interquartile range (IQR)0.44

Descriptive statistics

Standard deviation0.3238705846
Coefficient of variation (CV)0.3958400119
Kurtosis0.2107657564
Mean0.818185567
Median Absolute Deviation (MAD)0.22
Skewness0.5626709924
Sum396.82
Variance0.1048921556
2020-08-25T01:19:46.251237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.8791.9%
 
0.491.9%
 
0.7691.9%
 
0.9481.6%
 
0.6581.6%
 
0.681.6%
 
0.6481.6%
 
0.6881.6%
 
0.5281.6%
 
0.581.6%
 
0.8171.4%
 
0.9171.4%
 
0.9371.4%
 
0.5871.4%
 
0.8271.4%
 
0.7771.4%
 
0.9271.4%
 
0.6371.4%
 
0.5461.2%
 
0.8361.2%
 
0.861.2%
 
0.4861.2%
 
0.8961.2%
 
0.7261.2%
 
0.9661.2%
 
Other values (107)30462.7%
 
ValueCountFrequency (%) 
0.0910.2%
 
0.1410.2%
 
0.1810.2%
 
0.2120.4%
 
0.2210.2%
 
0.2320.4%
 
0.2510.2%
 
0.2610.2%
 
0.2710.2%
 
0.2920.4%
 
ValueCountFrequency (%) 
1.8710.2%
 
1.8120.4%
 
1.810.2%
 
1.7910.2%
 
1.7510.2%
 
1.6810.2%
 
1.6710.2%
 
1.6510.2%
 
1.6210.2%
 
1.5740.8%
 

PastEvents
Real number (ℝ≥0)

Distinct count276
Unique (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.146
Minimum0.32
Maximum5.93
Zeros0
Zeros (%)0.0%
Memory size3.9 KiB
2020-08-25T01:19:46.365855image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.32
5-th percentile0.78
Q11.27
median1.95
Q32.9
95-th percentile4.098
Maximum5.93
Range5.61
Interquartile range (IQR)1.63

Descriptive statistics

Standard deviation1.071179392
Coefficient of variation (CV)0.4991516271
Kurtosis-0.04494466785
Mean2.146
Median Absolute Deviation (MAD)0.78
Skewness0.701771433
Sum1040.81
Variance1.147425289
2020-08-25T01:19:46.474384image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.961.2%
 
1.3151.0%
 
1.0351.0%
 
0.8751.0%
 
2.0451.0%
 
1.7351.0%
 
1.0651.0%
 
1.4251.0%
 
1.340.8%
 
3.3140.8%
 
1.0540.8%
 
3.3840.8%
 
1.2140.8%
 
1.3340.8%
 
1.0240.8%
 
1.740.8%
 
1.1240.8%
 
1.5440.8%
 
1.1340.8%
 
3.3740.8%
 
2.9940.8%
 
2.230.6%
 
2.4330.6%
 
2.3830.6%
 
1.5830.6%
 
Other values (251)38078.4%
 
ValueCountFrequency (%) 
0.3210.2%
 
0.3910.2%
 
0.4110.2%
 
0.4720.4%
 
0.510.2%
 
0.5710.2%
 
0.6210.2%
 
0.6320.4%
 
0.6510.2%
 
0.6610.2%
 
ValueCountFrequency (%) 
5.9310.2%
 
5.510.2%
 
5.2510.2%
 
5.210.2%
 
4.9710.2%
 
4.9510.2%
 
4.9310.2%
 
4.8710.2%
 
4.8210.2%
 
4.7810.2%
 

Counter
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count485
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean243.7175257731959
Minimum1.0
Maximum491.0
Zeros0
Zeros (%)0.0%
Memory size3.9 KiB
2020-08-25T01:19:46.590081image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25.2
Q1122
median243
Q3364
95-th percentile466.8
Maximum491
Range490
Interquartile range (IQR)242

Descriptive statistics

Standard deviation141.2562022
Coefficient of variation (CV)0.5795898419
Kurtosis-1.181238415
Mean243.7175258
Median Absolute Deviation (MAD)121
Skewness0.02093555902
Sum118203
Variance19953.31467
2020-08-25T01:19:46.689407image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
48910.2%
 
23410.2%
 
17810.2%
 
18010.2%
 
18210.2%
 
18410.2%
 
18610.2%
 
18810.2%
 
19010.2%
 
19210.2%
 
19410.2%
 
19610.2%
 
19810.2%
 
20010.2%
 
20210.2%
 
20410.2%
 
20610.2%
 
20810.2%
 
21010.2%
 
21210.2%
 
21410.2%
 
21610.2%
 
21810.2%
 
22010.2%
 
22210.2%
 
Other values (460)46094.8%
 
ValueCountFrequency (%) 
110.2%
 
210.2%
 
310.2%
 
410.2%
 
510.2%
 
610.2%
 
710.2%
 
810.2%
 
910.2%
 
1010.2%
 
ValueCountFrequency (%) 
49110.2%
 
49010.2%
 
48910.2%
 
48810.2%
 
48710.2%
 
48610.2%
 
48510.2%
 
48410.2%
 
48310.2%
 
48210.2%
 

Corpus
Boolean

CONSTANT
REJECTED

Distinct count1
Unique (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
1
485
ValueCountFrequency (%) 
1485100.0%
 

Reasoning
Real number (ℝ≥0)

Distinct count258
Unique (%)53.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5458144329896903
Minimum0.55
Maximum5.83
Zeros0
Zeros (%)0.0%
Memory size3.9 KiB
2020-08-25T01:19:46.801114image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.55
5-th percentile1.244
Q11.97
median2.52
Q33.07
95-th percentile4.028
Maximum5.83
Range5.28
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation0.8377932486
Coefficient of variation (CV)0.3290865343
Kurtosis0.3234571974
Mean2.545814433
Median Absolute Deviation (MAD)0.55
Skewness0.3385340266
Sum1234.72
Variance0.7018975275
2020-08-25T01:19:46.905540image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.7581.6%
 
2.7371.4%
 
2.661.2%
 
2.1761.2%
 
2.2451.0%
 
3.1851.0%
 
2.2751.0%
 
2.4151.0%
 
1.6840.8%
 
2.940.8%
 
2.4340.8%
 
3.7240.8%
 
2.2640.8%
 
1.9740.8%
 
3.340.8%
 
340.8%
 
1.7240.8%
 
2.6340.8%
 
2.5740.8%
 
2.5140.8%
 
2.7940.8%
 
2.5440.8%
 
2.6240.8%
 
240.8%
 
1.8340.8%
 
Other values (233)37076.3%
 
ValueCountFrequency (%) 
0.5510.2%
 
0.5710.2%
 
0.6210.2%
 
0.6510.2%
 
0.6710.2%
 
0.7110.2%
 
0.7710.2%
 
0.7910.2%
 
0.8910.2%
 
0.9410.2%
 
ValueCountFrequency (%) 
5.8310.2%
 
5.2410.2%
 
4.8610.2%
 
4.8310.2%
 
4.6310.2%
 
4.6210.2%
 
4.5510.2%
 
4.5410.2%
 
4.510.2%
 
4.410.2%
 

target
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct count13
Unique (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2309278350515465
Minimum0
Maximum13
Zeros44
Zeros (%)9.1%
Memory size3.9 KiB
2020-08-25T01:19:47.019812image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median6
Q38
95-th percentile13
Maximum13
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.610743863
Coefficient of variation (CV)0.5794873506
Kurtosis-0.6164628848
Mean6.230927835
Median Absolute Deviation (MAD)2
Skewness0.002664972705
Sum3022
Variance13.03747124
2020-08-25T01:19:47.122049image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
88016.5%
 
67515.5%
 
5489.9%
 
0449.1%
 
4367.4%
 
7306.2%
 
13296.0%
 
12296.0%
 
9296.0%
 
1275.6%
 
10244.9%
 
3173.5%
 
2173.5%
 
ValueCountFrequency (%) 
0449.1%
 
1275.6%
 
2173.5%
 
3173.5%
 
4367.4%
 
5489.9%
 
67515.5%
 
7306.2%
 
88016.5%
 
9296.0%
 
ValueCountFrequency (%) 
13296.0%
 
12296.0%
 
10244.9%
 
9296.0%
 
88016.5%
 
7306.2%
 
67515.5%
 
5489.9%
 
4367.4%
 
3173.5%
 

Interactions

2020-08-25T01:18:50.183710image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:18:50.307486image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:18:50.444463image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:18:50.581681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:18:50.705868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:18:50.831567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:18:50.961881image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:18:51.276079image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:18:51.399603image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:18:51.528725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:18:51.653135image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:18:51.772393image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:18:51.896051image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:18:52.016592image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:18:52.147988image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:18:52.278202image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:18:52.399247image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:19:21.850095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:21.993162image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:22.128356image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:22.453762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:22.593627image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:22.731284image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:22.856739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:22.994366image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:23.123384image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:23.249223image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:23.376641image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:23.507310image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:23.637413image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:23.770201image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:23.906849image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:24.038605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:24.164063image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:24.300720image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:24.426375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:24.563405image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:24.697589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:24.833688image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:24.962178image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:25.092461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:25.223287image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:25.363264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:25.514401image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:25.659271image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:25.801381image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:25.945578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:26.092747image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:26.242974image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:26.391185image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:26.540992image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:26.881037image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:27.020037image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:27.177839image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:27.321855image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:27.477582image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:27.631620image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:27.774638image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:27.918442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:28.069405image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:28.215454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:28.352465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:28.497581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:28.638837image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:28.775951image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:28.927748image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:29.070757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:29.224147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:29.377097image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:29.521306image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:29.661014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:29.798269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:29.946944image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:30.101346image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:30.249854image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:30.394090image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:30.532764image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:30.672953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:30.810912image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:30.951316image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:31.077920image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:31.213005image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:31.526741image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:31.655821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:31.785881image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:31.919781image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:32.054130image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:32.196062image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:32.332608image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:32.463681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:32.591419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:32.732295image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:32.872081image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:33.012280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:33.163088image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:33.293931image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:33.428327image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:33.560637image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:33.699207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:33.827203image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:33.964153image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:34.094362image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:34.223011image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:34.354328image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:34.490093image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:34.626229image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:34.762742image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:34.901348image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:35.033549image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:35.188328image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:35.328315image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:35.457655image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:35.604357image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:35.950058image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:36.080387image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:36.211248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:36.353684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:36.493419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:36.623078image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:36.763385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:36.896821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:37.026464image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:37.165011image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:37.304785image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:37.439270image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:37.573967image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:37.710469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:37.842165image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:37.972414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:38.108428image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:38.240178image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:38.383782image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:38.520859image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:38.651301image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:38.785754image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:38.916167image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:39.050827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:39.184973image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:39.327440image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:39.464406image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:39.597487image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:39.732179image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:39.868945image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:40.011234image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:40.364106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:40.518847image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:40.657947image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:40.790299image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:40.927594image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:41.061569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:41.205202image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:41.347070image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:41.493135image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:41.635638image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:41.771900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T01:19:47.271483image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T01:19:47.802398image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T01:19:48.154897image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T01:19:48.508116image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T01:19:42.066757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:19:42.561393image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

MotionDirect_ActivityTextShare_SocTiesTimeIntervalLinearGuidanceFirstPersonWordPictureThinkAheadInnerThinkingNotifyingGenreThinkPositiveThinkNegativeShiftingEventsPastEventsCounterCorpusReasoningtarget
00.350.4802.241.635.230.095.012.151.722.1110.620.700.792.551.011.230
10.250.2112.281.393.460.134.341.851.481.7710.380.630.801.772.011.480
20.170.1722.841.945.030.045.851.551.722.8410.341.120.822.323.011.680
30.090.2233.061.713.150.003.281.212.742.4710.902.430.811.894.013.460
40.350.4441.841.805.790.263.162.282.152.5410.390.610.961.545.011.930
50.260.3052.131.356.520.265.831.831.262.2210.700.910.831.616.011.740
60.340.2162.671.233.900.174.071.741.312.9210.590.970.891.407.011.610
70.450.1471.991.312.670.005.162.943.403.0810.591.400.810.918.012.170
80.300.0881.572.173.360.134.591.191.102.4210.300.930.382.129.010.980
90.250.5192.321.774.680.044.012.191.982.6110.250.930.551.9810.011.860

Last rows

MotionDirect_ActivityTextShare_SocTiesTimeIntervalLinearGuidanceFirstPersonWordPictureThinkAheadInnerThinkingNotifyingGenreThinkPositiveThinkNegativeShiftingEventsPastEventsCounterCorpusReasoningtarget
4750.830.124811.250.676.155.615.990.672.951.54141.581.251.162.78482.014.0713
4760.360.244821.911.196.880.527.991.193.741.87140.681.150.762.66483.012.3513
4770.330.174831.610.877.245.504.591.123.561.90141.860.950.872.19484.014.2613
4780.520.324841.230.837.730.7110.030.992.891.67140.831.150.793.05485.012.2613
4791.120.124850.520.609.080.765.761.041.881.92140.241.241.563.76486.012.2813
4800.740.134861.131.528.770.565.691.352.392.43140.871.481.433.69487.012.8213
4810.900.134871.491.154.654.618.450.812.221.79140.941.790.942.90488.012.1313
4820.450.374881.360.868.480.666.300.912.961.65140.701.190.493.29489.013.2913
4830.640.214891.331.378.540.266.051.503.392.36140.862.231.244.21490.012.7513
4840.580.504901.940.455.981.654.131.202.392.06141.032.020.872.64491.012.8113